In addition to evaluating on moving object segmentation,
we also benchmark the model on camouflaged object detection on the MoCA dataset,
where visual cues are often less effective than motion cues.
To compare fairly with CIS [1]},
we use the code and model released by the authors,
and finetune their model on MoCA in a self-supervised manner.
We convert our model's output segmentation mask to a bounding box by
keeping only the largest connected region in the prediction
before taking the bounding box around it.
